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Research and Application of Cultivation-Simulation-Optimization Decision Making System for Rapeseed (Brassica Napus L.)

  • Conference paper

Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT,volume 345)

Abstract

The objectives of this study were to develop Rapeseed Cultivation Simulation-Optimization-Decision Making System (Rape-CSODS), and validate it in order to design rapeseed planting, regulate and control its growth and development, and fulfill its high yield, good quality, high benefits, and standard production eventually. The models in Rape-CSODS were developed based on field experiments with 3 cultivars, 2 plant types, 6 sowing dates, and 4 sites from 2002 to 2008 in the middle and lower valley of Yangtze river in China and relative data from references of rapeseed research, employed ideas of R/WCSODS (Rice/Wheat Cultivation Simulation-Optimization-Decision Making System), then Rape-CSODS were developed through integrating rapeseed growth models, optimization models, and expert knowledge. In that the rapeseed growth models mainly included phenophase, leaf age, population dynamic, and organ forming etc., and the optimization models for rapeseed cultivation mainly included the optimum biomass, the optimum LAI, the optimum shoot and ramification number dynamics models, and the optimum decision making models for nitrogen and water etc. As a case, the system has been applied in Shandong Province in this study, and the results showed that the scheme get by this systems can increase green leaf number before over-winter, 1.1; 1000-weight, 0.2g; and rapeseed yield, 676.5 kg ha-1 at mature, comparing with rapeseed production in the same conditions. The Rape-CSODS with general adaptability, clear yield aim, better mechanism, and dynamic characteristic can get the optimum management sheet pre-planting, micro-adjustment sheet during growth for rapeseed under different climates, soil, cultivars, and yielding levels.

Keywords

  • Rapeseed
  • Cultivation
  • Growth Models
  • Optimization Models
  • Decision Making System
  • Research and Application

References

  • Cao, H.X., Zhang, C.L., Jin, Z.Q., Shi, C.L., Ge, D.K., Xu, J.F., Liu, Q.Y., Gao, L.Z.: Discussing of Frame and Technological Systems for Digital Cultivation. J. Farming and Cultivation (3), 4–7 (2005)

    Google Scholar 

  • Cao, H.X., Zhang, C.L., Li, G.M., Zhang, B.J., Zhao, S.L., Wang, B.Q., Xu, J.F., Liu, Q.Y., Jin, Z.Q., Gao, L.Z.: Researches of Decision-making System for Rape Optimization-Digital Cultivation Based on Simulation Models. In: The Third International Conference on Intelligent Agricultural Information Technology, pp. 285–292. China Agri. Sci. & Tech. Press, Beijing (2005)

    Google Scholar 

  • Cao, H.X., Zhang, C.L., Li, G.M., Zhang, B.J., Zhao, S.L., Wang, B.Q., Jin, Z.Q.: Researches of simulation models of rape (Brassica napus L.) growth and development. Acta Agron Sin 32(10), 1530–1536 (2006) (in Chinese with English abstract)

    Google Scholar 

  • Cao, H., Zhang, C., Li, G., Zhang, B., Zhao, S., Wang, B., Jin, Z., Zhu, D., Zhu, J., Wei, X.: Researches of Optimum Leaf Area Index Dynamic Models for Rape (Brassica napus L.). In: Li, D., Chunjiang, Z. (eds.) IFIP International Federation for Information Processing, vol. 295, Computer and Computing Technologies in Agriculture II, vol. 3, pp. 1585–1594. Springer, Boston (2009)

    Google Scholar 

  • Cao, H.X., Zhang, C.L., Li, G.B., Zhang, B.J., Zhao, S.L., Wang, B.Q., Jin, Z.Q., Zhu, D.W., Zhu, J.J., Wei, X.F.: Researches of Optimum Shoot and Ramification Number Dynamic Models for Rapeseed (Brassica napus L.). In: IEEE Proceedings of the 2009 International Conference on Computer and Computing Technology Applications in Agriculture (2010) (accepted)

    Google Scholar 

  • Farré, I., Robertson, M.J., Walton, G.H., Asseng, S.: Simulating response of canola to sowing data in Western Australia. In: Hobart Proceedings of the 10th Australia Agron Conference, pp. 36–40 (2001)

    Google Scholar 

  • Gabrielle, B., Denoroy, P., Gosse, G., Justes, E., Andersen, M.N.: Development and evaluation of a CERES-type model for winter oilseed rape. Field Crop. Res. 57(1), 95–111 (1998)

    CrossRef  Google Scholar 

  • Gabrielle, B., Roche, R., Gosse, G.: CERES-Rape, a model for the production and environmental impact of rapeseed. In: Proceedings of the 10th International Rapeseed Congress (1999), http://www.regional.org.au/au/gcirc/2/473.htm

  • Gao, L.Z., Jin, Z.Q., Huang, Y., Li, B.B., Chen, H.: Rice Cultivational Simulation-optimization-decision Making System, pp. 21–40. Chinese Agri. Sci. & Tech. Press, Beijing (1992) (in Chinese)

    Google Scholar 

  • Gao, L.Z., Jin, Z.Q., Zheng, G.Q., Feng, L.P., Zhang, L.Z., Shi, C.L., Ge, D.K.: Wheat cultivational simulation-optimization-decision making system. J. Jiangsu Agric. 16(2), 65–72 (2000) (in Chinese with English abstract)

    Google Scholar 

  • Guan, C.Y.: Cultivational Techniques of Good Quality and High Yielding for Rape. Hunan Sci. & Tech. Press, Changsha (1992) (in Chinese)

    Google Scholar 

  • Habekott, B.é.: A model of the penological development of winter oilseed rape (Brassica napus L.). Field Crop. Res. 54, 137–153 (1997)

    CrossRef  Google Scholar 

  • Hu, L.Y., Liu, T.M., Zheng, X.L., Cao, C.G., Cao, W.X., Yan, M.C.: A mechanistic of phasic and phenological development in rape. II. Verification and evaluation of the model. Chin. J. of Oil Crop. Sci. 26(2), 51–54 (2004) (in Chinese with English abstract)

    Google Scholar 

  • Husson, F., Wallach, D., Vandeputte, A.: Evaluation of CECOL, a model of winter rape (Brassica napus L.). Europe J. of Agron 18, 205–214 (1997)

    Google Scholar 

  • Kiniry, J.R., Major, D.J., Izaurralde, R.C., Williams, J.R., Gassman, P.W., Morrison, M., Bergentine, R., Zentener, R.P.: EPIC model parameters for cereal, oilseed, and forage crop in the north Great Plain region. Can. J. Plant. Sci. 63, 1063–1065 (1983)

    CrossRef  Google Scholar 

  • Liao, G.P., Guan, C.Y.: Study on characteristics of dry matter accumulation, distribution and transfer of winter rapeseed (Brassica napus). Acta Agron Sin. 28(1), 52–58 (2002a) (in Chinese with English abstract)

    Google Scholar 

  • Liao, G.P., Guan, C.Y., Wu, Q.Y., Li, A.P., Chen, S.Y., Wang, G.H.: Development of knowledge-base of the expert system for rapeseed production. Crop. Res. (3), 118–121 (2002b) (in Chinese with English abstract)

    Google Scholar 

  • Ling, Q.H.: Crop population quality, 1st edn., pp. 217–286. Shanghai Sci. and Tech. Press, Shanghai (2000) (in Chinese)

    Google Scholar 

  • Liu, H., Jin, Z.Q.: The simulation models of rape development dynamic. J. of Appl Meteo (5), 634–639 (2003) (in Chinese with English abstract)

    Google Scholar 

  • Liu, H.L.: Rape Culture Science for Application, 1st edn., pp. 220–221. Shanghai Sci. & Tech. Press, Shanghai (1987) (in Chinese)

    Google Scholar 

  • Liu, T.M., Hu, L.Y., Zhao, Z.H., Cao, C.G., Cao, W.X., Yan, M.C.: A mechanistic of phasic and phenological development in rape. I. Description of the model. Chin. J. of Oil Crop. Sci. 26(1), 27–30 (2004) (in Chinese with English abstract)

    Google Scholar 

  • Petersen, C.T., Svendsen, H., Hansen, S., Jensen, H.E., Nieksen, N.E.: Parameter assessment for simulation of biomass production and nitrogen uptake in winter rape. Europe J. of Agron (4), 77–89 (1995)

    Google Scholar 

  • Robertson, M.J., Holland, J.F., Kirkegaard, J.A., Smith, C.J.: Simulating Growth And Development of Canola in Australia. In: Proceedings of the 10th International Rapeseed Congress (1999), http://www.regional.org.au/au/gcirc/2/143.htm

  • Tang, L., Cao, W.X., Zhu, Y.: Development of growth model-based decision support system for rapeseed management. Transactions of the CSAE 22(11), 160–164 (2006) (in Chinese with English abstract)

    Google Scholar 

  • Tang, L., Zhu, Y., Ju, C.H., Cao, W.X.: Dynamic simulation on shoot dry matter partitioning and yield formation of rapeseed. Chin. J. of Applied Eco. 18(3), 526–530 (2007a) (in Chinese with English abstract)

    Google Scholar 

  • Tang, L., Zhu, Y., Sun, X.F., Cao, W.X.: Dynamic Simulation Model for Photosynthesis and Dry Matter Accumulation in Rapeseed. Acta Agaon Sin. 33(2), 189–195 (2007b) (in Chinese with English abstract)

    Google Scholar 

  • Wang, Y.R.: Population Physiology of Crop High-yielding, 1st edn. Sci. and Tech. literature Pub. House, Beijing (1991) (in Chinese)

    Google Scholar 

  • Zhu, Y., Shen, W.X., Cao, W.X., Tian, Y.C.: Dynamic knowledge model and decision support system for rapeseed cultivation management. Transactions of the CSAE 20(6), 141–144 (2004) (in Chinese with English abstract)

    Google Scholar 

  • Zhu, Y., Cao, W.X., Shen, W.X., Tian, Y.C.: A dynamic knowledge model for fertilization management in rapeseed. Chin. J. Eco. 24(2), 209–213 (2005) (in Chinese with English abstract)

    Google Scholar 

  • Zhu, Y., Cao, W.X., Tian, Y.C., Yao, X.: A dynamic knowledge model for designing suitable scheme of rapeseed sowing and transplanting. Chin. J. of Applied Eco. 18(2), 322–326 (2007) (in Chinese with English abstract)

    Google Scholar 

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Cao, H. et al. (2011). Research and Application of Cultivation-Simulation-Optimization Decision Making System for Rapeseed (Brassica Napus L.) . In: Li, D., Liu, Y., Chen, Y. (eds) Computer and Computing Technologies in Agriculture IV. CCTA 2010. IFIP Advances in Information and Communication Technology, vol 345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18336-2_54

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  • DOI: https://doi.org/10.1007/978-3-642-18336-2_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18335-5

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